Track accepted paper

CiteScore: 2.11ℹ
CiteScore measures the average citations received per document published in this title. CiteScore values are based on citation counts in a given year (e.g. 2015) to documents published in three previous calendar years (e.g. 2012 – 14), divided by the number of documents in these three previous years (e.g. 2012 – 14).

Impact Factor: 2.213ℹImpact Factor:2017: 2.213The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.
2017 Journal Citation Reports (Clarivate Analytics, 2018)

5-Year Impact Factor: 2.016ℹFive-Year Impact Factor:2017: 2.016To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years.
2017 Journal Citation Reports (Clarivate Analytics, 2018)

Source Normalized Impact per Paper (SNIP): 1.040ℹSource Normalized Impact per Paper (SNIP):2017: 1.040SNIP measures contextual citation impact by weighting citations based on the total number of citations in a subject field.

SCImago Journal Rank (SJR): 0.678ℹSCImago Journal Rank (SJR):2017: 0.678SJR is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and a qualitative measure of the journal’s impact.

Author StatsℹAuthor Stats:Publishing your article with us has many benefits, such as having access to a personal dashboard: citation and usage data on your publications in one place. This free service is available to anyone who has published and whose publication is in Scopus.

This special issue focuses on the theme of imperfect systems, of their dynamics and on the positive role that imperfections can play in the global behavior of systems. One fundamental question related to imperfect systems is in fact: Can they be controlled or they control themselves?

This is a call for submissions to a special issue of Chaos Solitons and Fractals titled “Probabilistic aspects of dynamical systems”. This special issue aim to shed some light on recent discoveries and to highlight future challenges that will shape the future of the study of the statistical properties of dynamics.

Authors are invited contribute to a Special Issue on the unification of behavioral sciences and team management, focusing on the biological origin of cooperation and swarm intelligence, moving from biology to psychology and from sociology to political science, with the help of the theoretical tools of complex networks.